The open source HPCC Systems platform is a proven, easy to use solution for managing data at scale. Visit our Easy Guide to learn more about this completely free platform, test drive some code in the online Playground, and get started today.

Mortar is the fastest and easiest way to work with Pig and Python on Hadoop in the Cloud.

Mortar’s platform is for everything from joining and cleansing large data sets to machine learning and building recommender systems.

Mortar makes it easy for developers and data scientists to do powerful work with Hadoop. The main advantages of Mortar are:

Zero Setup Time: Mortar takes only minutes to set up (or no time at all on the web), and you can start running Pig jobs immediately. No need for painful installation or configuration.

Powerful Tooling: Mortar provides a rich suite of tools to aid in Pig development, including the ability to Illustrate a script before running it, and an extremely fast and free local development mode.

Elastic Clusters: We spin up Hadoop clusters as you need them, so you don’t have to predict your needs in advance, and you don’t pay for machines you don’t use.

Solid Support: Whether the issue is in your script or in Hadoop, we’ll help you figure out a solution.

We talked about the Open Source Mortar Framework and their new Open Source tool for visualizing data while writing Pig scripts called Watchtower

There are no two ways around it, Hadoop development iterations are slow. Traditional programmers have always had the benefit of re-compiling their app, running it, and seeing the results within seconds. They have near instant validation that what they’re building is actually working. When you’re working with Hadoop, dealing with gigabytes of data, your development iteration time is more like hours.

Managing data at scale doesn’t have to be hard. Find out how the completely free, open source HPCC Systems platform makes it easier to update, easier to program, easier to integrate data, and easier to manage clusters. Download and get started today.